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Practical Python: From Zero to Data Prep
Rating: 3.3 out of 5(7 ratings)
195 students

Practical Python: From Zero to Data Prep

Learn core Python programming, data types, exception handling, and Matplotlib. Perfect for data science & Snowflake.
Created byMukund Kumar Mishra
Last updated 5/2026
English
English [Auto],

What you'll learn

  • Master Python syntax fundamentals, including variables, data types, and operators, to write clean, error-free code.
  • Control program flow using conditional logic (if/else statements) and loops (for/while) to automate repetitive tasks.
  • Create and implement custom functions and manage data structures like lists, dictionaries, and tuples efficiently.
  • Read, write, and manipulate external files, and apply basic debugging techniques to troubleshoot and fix code errors.

Course content

3 sections • 14 lectures • 47m total length

  • Introducing Python3:30
  • Python On Jupyter Notebook0:44

    Learn how to use Jupyter Notebook by locating, downloading, and installing it, then launch the notebook in a browser to start coding.

  • Python Variables & Data Types2:30

    Python treats every value as an object with identity, type, and value, and variables are just names for those objects at runtime, including integers, floats, complex numbers, and strings.

  • Python - Basic Operators and Functions3:40

    Master basic Python operators and functions by exploring logical, membership, and identity operators, assignment and compound operators, bitwise operations, and how to define functions.

  • Python - LISTS,TUPLES,DICTIONARIES,SETS2:05

    Explore Python's core data types—lists, dictionaries, and sets—and learn how lists are mutable sequences, how dictionaries store key-value pairs, and how sets enforce unique elements.

  • Exception Handling In Python5:51
  • Loop In Python2:19

    Master Python loops by using for and while statements to iterate over lists, dictionaries, sets, and strings, including nested loops, break, and continue.

  • Python - Important Libraries For Data Science6:24

    Explore essential Python libraries for data science, including pandas, NumPy, SciPy, Matplotlib, Seaborn, and scikit-learn. Leverage gensim for topic modeling and Scrapy for web scraping.

  • Python - Overview of Object Oriented Programming4:42

    Explore object oriented programming in Python, covering encapsulation, abstraction, polymorphism, and inheritance—the four pillars that enable reusable, extensible software; learn how classes instantiate objects with __init__.

  • Reading Data In Python Using pandas and Data Frame1:45

Requirements

  • Basic Programming Understanding

Description

Welcome to the ultimate beginner's guide to Python! Python is a true general-purpose, object-oriented programming language designed for rapid application development. Originally released in 1991 by Guido van Rossum, it has grown into one of the most in-demand languages in the world due to its dynamic binding and dynamic typing options.

Python is widely considered the "language for everyone" because of its clean, readable coding style. Whether you are a complete beginner, a manager with minimal programming exposure, or a data professional looking to upgrade your skillset, this course is designed for you.

Almost anything can be built with Python. From web development and server backends to automation scripts, game development, machine learning, and deep learning—Python does it all. By mastering the basics in this course, you will open up a wide area of career opportunities in:

  • Data Science & Machine Learning

  • Automation Scripts & Workflow Efficiency

  • Web & Mobile Application Development

  • Software Engineering & Game Design

Why Take This Course? This course focuses on practical, hands-on learning. We don't just teach theory; we build real skills. We start with absolute basics like Jupyter Notebook setup, variables, loops, and data structures (Lists, Tuples, Dictionaries, Sets). Then, we move into intermediate topics like Exception Handling, Modules, and Object-Oriented Programming (OOP). Finally, you will dive into data science fundamentals by mastering Data Visualization with Matplotlib and learning how to bulk load CSV data directly into Snowflake using Python.

Whether you are looking to enter the job market or you are an existing professional working on Snowflake looking to integrate Python workflows, this course provides the perfect launching pad for your career. Enroll today and start coding!

Who this course is for:

  • Developers , Testers, Data Science Enthusiast

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